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[Bugfix][KV Offload] Namespace auto cache dtype by effective dtype#49438

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jongukc wants to merge 5 commits into
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jongukc:fix/native-offload-effective-cache-dtype
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[Bugfix][KV Offload] Namespace auto cache dtype by effective dtype#49438
jongukc wants to merge 5 commits into
vllm-project:mainfrom
jongukc:fix/native-offload-effective-cache-dtype

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@jongukc

@jongukc jongukc commented Jul 22, 2026

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Purpose

Persistent native KV-offload tiers currently fingerprint the unresolved
cache_dtype argument. With the default cache_dtype="auto", FP16 and BF16
engines for the same model therefore share a filesystem or object-store
namespace even though their KV bytes are incompatible. Because both formats
have the same page size, a BF16 engine can accept FP16 pages and silently return
incorrect output after restart.

This change resolves only the auto case to model_config.dtype before
constructing OffloadingModelConfig. Explicit cache formats such as FP8 remain
unchanged because they may share a backing torch.dtype while using
incompatible representations.

Duplicate-work check

I searched open and closed issues and PRs for FileMapper, persistent native
offload, cache_dtype=auto, FP16/BF16, and cache namespaces. I found no matching
fix. #49261 and #49266 add model-revision identity to the same namespace, but
they do not resolve the literal auto dtype. This finding is independent and
persists within one model revision. #48414 fingerprints an opt-in canonical
layout, and #49413 concerns offload-event routing; neither changes cache dtype
identity.

Test plan

.venv/bin/python -m pytest -q \
  tests/v1/kv_offload/test_factory.py \
  tests/v1/kv_offload/test_file_mapper.py

.venv/bin/python -m pytest -q tests/v1/kv_offload

.venv/bin/pre-commit run --files \
  vllm/distributed/kv_transfer/kv_connector/v1/offloading/config.py \
  tests/v1/kv_offload/test_factory.py

git diff --check origin/main...HEAD

The model-level replay uses facebook/opt-125m, V2, FP16/BF16, a fixed
PYTHONHASHSEED, and a persistent filesystem tier. It runs cold BF16, populates
the tier with FP16, and then starts BF16 against the same root.

Test results

Tested on current upstream main at d6dbdb9b0.

  • Focused factory and mapper tests: 40 passed.
  • Complete KV-offload suite: 388 passed.
  • All applicable pre-commit hooks passed, including Ruff and mypy.
  • git diff --check passed.
  • The fixed replay created distinct float16 and bfloat16 namespaces.
  • The BF16 replay JSON, including token IDs and chosen-token logprobs, was
    byte-identical to the cold BF16 baseline.

Before the fix, the same replay loaded FP16 pages into BF16 and changed the
greedy continuation from Paris... to the first to be a great person....

AI Assistance

OpenAI Codex was used to assist with investigation, implementation, testing,
and PR preparation. The human submitter must review every changed line and be
prepared to explain and defend the change end-to-end.

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

Co-authored-by: OpenAI Codex <codex@openai.com>
Signed-off-by: Jonguk Cheong <jdal3031@snu.ac.kr>
@mergify mergify Bot added the v1 label Jul 22, 2026
@jongukc
jongukc force-pushed the fix/native-offload-effective-cache-dtype branch from 5727584 to 1418efc Compare July 22, 2026 10:27
@mergify mergify Bot added bug Something isn't working kv-connector labels Jul 22, 2026
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@orozery orozery added the ready ONLY add when PR is ready to merge/full CI is needed label Jul 22, 2026

@orozery orozery left a comment

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Thanks for the fix @jongukc !

@jongukc

jongukc commented Jul 23, 2026

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@orozery It seems that the failed CI jobs are unrelated to this patch.
(There was a network error during apt command.)
Could you retry them when convenient?

@orozery

orozery commented Jul 23, 2026

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@orozery It seems that the failed CI jobs are unrelated to this patch. (There was a network error during apt command.) Could you retry them when convenient?

I usually just click "update branch" until the flaky CI tests pass.
It seems that currently there is a CI jobs that fails deterministically (buildkite/ci/v1-sample-plus-logits).
I think it's best if we watch the current main and wait for it to stabilize, then "update branch" to re-trigger the CI.

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